Hello,
I am working in PIX4Dmapper with images captured from a camera mounted at the rear of a vehicle and pointing downward toward the road.
My dataset does not contain EXIF metadata. For each image, I only have:
- X, Y, Z coordinates
- Roll
- Pitch
- Heading
I manually defined the camera model using the internal calibration parameters of my camera/lens system.
Camera information:
- Camera: Matrix Vision mvBlueCOUGAR-X-1012bC
- Lens: Computar LM8JC10MV0828-MPY2
- Focal length: 8.5 mm
- Image size: 4096 x 3008
- Sensor size: 14.1312 mm x 10.3776 mm
Internal calibration used:
- Ck: -8.31463
- XH: 0.02678
- YH: -0.00295
- A1: -1.45518E-003
- A2: 1.77331E-005
- A3: 0
- B1: 0
- B2: 0
- C1: 0
- C2: 0
In the Quality Report:
- 22 out of 24 images are calibrated
- 2 images are disabled
- Matching is yellow with a median of 911.422 matches per calibrated image
- Overlap appears low in some areas
- Absolute camera position and orientation uncertainties: “Uncertainty computation failed”
The processing fails during dense processing with these errors:
- [Warning]: TileGenerator: Skipping empty cluster
- [Error]: Dense matching failed
- [Error]: Dense Processing failed
- [Error]: Generating tiles failed
My questions are:
- How can I verify that my imported roll pitch heiding, orientations are correct in PIX4Dmapper?
- Does this failure mainly indicate insufficient longitudinal overlap between images?
- For a vehicle-mounted downward-looking road camera, are there recommended settings for dense matching or calibration?
- Is there a recommended workflow for projects without EXIF but with external position and orientation data?